Tesseract-OCR 3.04简单使用举例(读入图像输出识别结果)

        下面code是对Tesseract-OCR 3.04版本进行简单使用的举例：包括两段，一个是读入带有中文字符的图像，一个是读入仅有英文字符的图像：

#include "funset.hpp"

#include 
#include 
#include 

#include 

#include 
#include 
#include 
#include 
#include 
#include 

namespace {

#ifdef _MSC_VER
void utf8_to_gbk(const char* utf8, char* gbk)
{
	const int maxlen = 128;
	wchar_t unicode_str[maxlen];
	int outlen = MultiByteToWideChar(CP_UTF8, 0, utf8, strlen(utf8), unicode_str, maxlen);
	outlen = WideCharToMultiByte(CP_ACP, 0, unicode_str, outlen, gbk, 128, nullptr, nullptr);
	gbk[outlen] = '\0';
}
#endif

} // namespace

int test_recognize_image_content_1()
{
	// reference: https://github.com/tesseract-ocr/tesseract/wiki/APIExample
{ // chinese
	// Initialize tesseract-ocr
	tesseract::TessBaseAPI* api = new tesseract::TessBaseAPI();
	const char* datapath{ "E:/GitCode/OCR_Test/test_data/tessdata/" };
	if (api->Init(datapath, "chi_sim")) {
		fprintf(stderr, "Could not initialize tesseract.\n");
		return -1;
	}

	// Open input image with leptonica library
	Pix* image = pixRead("E:/GitCode/OCR_Test/test_data/chi_sim_1.png");
	api->SetImage(image);
	// Get OCR result
	char* outText = api->GetUTF8Text();
	char gbk[256];
	utf8_to_gbk(outText, gbk);
	fprintf(stdout, "OCR output: %s\n", gbk);

	// Destroy used object and release memory
	api->End();
	delete api;
	delete[] outText;
	pixDestroy(&image);
}

{ // english
	// Initialize tesseract-ocr
	tesseract::TessBaseAPI* api = new tesseract::TessBaseAPI();
	const char* datapath{ "E:/GitCode/OCR_Test/test_data/tessdata/" };
	if (api->Init(datapath, "eng")) {
		fprintf(stderr, "Could not initialize tesseract.\n");
		return -1;
	}

	// Open input image with leptonica library
	Pix* image = pixRead("E:/GitCode/OCR_Test/test_data/eng_1.png");
	api->SetImage(image);
	// Get OCR result
	char* outText = api->GetUTF8Text();
	char gbk[256];
	utf8_to_gbk(outText, gbk);
	fprintf(stdout, "OCR output: %s\n", gbk);

	// Destroy used object and release memory
	api->End();
	delete api;
	delete[] outText;
	pixDestroy(&image);
}

	return 0;
}

        测试图像如下：

        执行结果如下：

        GitHub： https://github.com/fengbingchun/OCR_Test